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Duration 21 hours
Course Outline
Introduction to OpenSearch and Its Ecosystem
- Origins and evolution from Elasticsearch and Kibana
- Apache 2.0 licensing model
- Insight into the OpenSearch project structure and governance
Core Components and Architecture
- OpenSearch nodes, clusters, and indices
- Visualization features of OpenSearch Dashboards
- Plugins, extensions, and integration capabilities
Installation and Configuration
- Setting up OpenSearch on Linux and Windows
- Designing cluster configuration and topology
- Managing node roles, settings, and configuration files
Data Indexing and Search
- Index lifecycle management and mapping techniques
- Utilizing Query DSL, aggregations, and relevance tuning
- Optimizing performance for indexing and search queries
Monitoring and Observability
- Tracking performance metrics and cluster health
- Leveraging the OpenSearch Performance Analyzer
- Utilizing OpenSearch Dashboards for monitoring insights
Security and Access Control
- Implementing role-based access control and user authentication
- Ensuring data encryption and secure communications
- Managing audit logs and compliance requirements
Advanced Administration and Scaling
- Developing backup and restore strategies
- Achieving horizontal scaling and high availability
- Best practices for troubleshooting and maintenance
Summary and Next Steps
Requirements
- Familiarity with database management principles
- Background in Linux or Windows system administration
- Basic knowledge of REST APIs and JSON data structures
Target Audience
- DevOps professionals and system administrators
- Data engineers and software developers
- Technical architects overseeing enterprise search or analytics infrastructure
Testimonials (1)
the trainer was very good and made the training perfect for my needs
